The application of thin-wall shell model in plate problem of syntactic foams

Size: px
Start display at page:

Download "The application of thin-wall shell model in plate problem of syntactic foams"

Transcription

1 Available online Journal of Cemical and Parmaceutical Researc, 14, 6(6: Researc Article ISSN : CODEN(USA : JCPRC5 Te application of tin-wall sell model in plate problem of syntactic foams You Liwen 1 and Zeng Ziun * 1 University of Science and Tecnology Liaoning, Ansan Department of Mecanics and Engineering Science, Pecking University, Beiing ABSTRACT Te composite materials wit vacuole inclusions are modeled by mesing matrix materials into entity units and inclusions into tin-sell units. Te element stiffness of te smoot closed tin-wall in plain-strain condition is formulated by Kircoff-Love teory. And corresponding to te model, te multi-point constraint conditions of te material interface are obtained. A representative volume of composite materials wit vacuoles inclusion is taken for example; te effective modulus variance during te interfacial debonding procedure is simulated. Te result sows tat te mesing sceme and te assembling sceme proposed are valid and te number of freedoms is reduced. Keywords: composite materials; vacuole inclusion; effective modulus; multi-point constraint; debonding CLC No.: O343.7 INTRODUCTION Composite material is a kind of common compound material. Troug embedding glass ollow inclusions in te matrix, it acieves [1],presented by Figure 1. Embedding ollow inclusions can make materials ligter and softer [][3], enance materials termal expansion effect [4] and absorbing capacity [5], and promote cusion performance [6]. Nowadays, it as been applied to aerospace, navigation, and logistics [6]. Figure 1,ollow microsperes syntactic foam Finite element modeling calculation plays an important role in discovering te mecanic attributes of syntactic foams [7]. For te researc of normal intension of fibrous materials, it can be simplified in accordance wit plane strain metod [8]. In terms of geometry,ollow inclusion belongs to tin-wall sell structure. For Finite element 1748

2 model of tin-wall sell, not only solid modeling, but also tin-wall teorem can be applied to [9]. In suc problems, bot inclusion and matrix are always segmented into entitative unites because of te special connection between matrix and inclusion tin-wall sell. Now, in order to describe te curve of tin-wall sell, set more unites along wit tickness wose dimension is small in tickness direction. And in order to avoid ill-conditioned stiffness matrix, te corresponding scale of unites in sell as better lessen, and simultaneously te scale of gridding is in smoot transition along wit te distance to interface wile degrees of freedom increase muc [7][8]. To reduce cost of calculations, te paper tries to de-dimension inclusions in according to classic Kircoff-Love tin-wall sell teorem, deducing te expression of strain and stiffness of inclusion under plate strain situation, discussing multi-points constraint relationsip between inclusion and matrix, and ten taking te equivalent modulus problem tat at te time syntactic foams debond partly from interface as an example for cecking.. Te stiffness inference of inclusion sell Because one side of inclusion tin-wall is air, it is almost considered as te prerequisite of only tangential normal stress. If we assume tat tin-wall curve is smoot and its slope is not tat steep, we can adopt te sell model of Kircoff-Love. Tis model equals to an arc tat meets plane s assumption in te case of strain plane, and only as positive strain along wit te direction of tangent (sown in Figure. Te normal commercial software does never fulfill tis plane strain unit [9]. In order to make programming convenient, tis article will make inferences of its corresponding expression under rectangular coordinate system,and ten acieve element stiffness matrix. Figure, microelement of te inclusion We can know easily from microelement sown in Figure tat te original distance of tangential section away from z point to neutral surface is: l = s (1 + κ z (1 κ is te original curvature, expressed as follows: κ = y'' x' x'' y' ( Te derivative is differentiation of arc lengt. Pay attention to te requirements of Kircoff-Love tat need to be small. If tin-wall microelements ave micro displacement ( u( s, v( s,te cange of surface witin tin wall is ( x( s + u( s, y( s + v( s,eac variable in formula (1 sould be: κ s = s 1+ u ' x ' + v ' y ' + u ' + v ' = s (1 + u ' x ' + v ' y ' (3 (( y '' v ''( x ' u ' ( x '' u '' ( y ' v ' κ = ( = x ' y '' y ' x '' + ( x ' v '' u '' y ' s s (4 1749

3 l s( κz 1 Te above derivative uses te prerequisite tat ( u / s, v / s = + (5 is a small value. Terefore, te positive strain of eac point wit te direction of tangentiality can be presented as: ε l l l = = ( s s + z ( sκ s κ s ( u ' x' y ' v' z ( x' v'' u '' y ' zκ ( u ' x' y ' v' = (6 Obviously, te first term in formula (6 stands for tensile strain mode similar to pole. Te second term stands for curving strain mode similar to girder. Te tird term describes tat fact tat te bend of tin wall will absolutely lead to te curving strain simultaneously wile stretcing. And we can realize tat wen te neutral surface of tin wall is straigt line, te strain mode expressed in formula (6 will degrade completely to be te combination of pole and girder. Te above formulae as second derivative of displacement ( u( s, v( s. Wile using finite element discretization, sape function sould be second derivative. In order to make bending moment conveyed, te first derivative of connection point sould be continuous. Terefore, te paper adopts te classic beam element of sape function called two nodes and four parameters to insert value, tat is: (, ( 3 T ξ + ξ ui vi ui vi s ( ξ ξ ξ u ' v ' u ' v ' + ( 3ξ ξ 3 s ( ξ ξ u ' v ' u ' v ' i i T i i u ξ v ξ = N 3 = ξ u v u v (7 To especially point out tat te term tat is degree of freedom of unction angle ( u', v' is te arc lengt s derivative of translational movement witout corresponding pysical angle. Te angle of linear neutral plane can be expressed as: θ = ( n u ', and te strain field can be expressed as: T T dn d N 1 + zκ dξ u z dξ ue T T s dn e s v d e N v dξ dξ e ( = [ x ', y '] + [ y ', x '] ε ξ ξ u = e ve In brief: : ε ( ξ B( be calculated as follows: and so element stiffness matrix can be gained as:, tereby te potential energy function and element stiffness witin units are able to ue Φ = s u v JB EB dzdξ (9 v 1 T T T, e e e 1 T e = s J dzdξ K B EB (1 3. Te assembling of inclusion and matrix Nowadays, in composite materials, tere are lots of models of interfacial combination of inclusions and matrixes [1]~ [18]. Tis article aims at discussing two different assembling of unites instead of interfacial model itself, and tereby use te simplest interfacial continuous displacement model to infer te constrainable relationsip between (8 175

4 degrees of freedom of inclusions and degrees of freedom of matrixes. Te infliction of tis constrainable relationsip can refer to [11]. For eac unction A of corresponding matrixes on interface, set unction B on neutral surface of inclusion in order to make te normal direction of AB along wit curve on neutral surface seem like Figure 3. Figure 3, interfacial points assignment According to continuous model of interfacial displacement, AB is always perpendicular to neutral surface and as te fixed lengt no matter before or after transformation. = ( y', x', = ( x', y' n τ, respectively is unit normal vector of inclusionary neutral surface and unit tangential vector before transformation: xm xin = n (11 After transformation: ( x + u ( x + u m m in in dy + dv ds dx + du ds =, ds ds ds ds = ( n ( u ' n τ (1 get te difference between tese two formula: um uin = ( u ' n τ (13 Te above multi-points constraint makes te displacement on interfacial unction between matrix and inclusion equal. In order to tese two fit better on te interface, we can add constrain conditions tat tangent equals between inclusion and matrix. And, usually, plane unit unctions in commercial software does not ave degrees of freedom of angle [1], matrix s tangent on interfacial points can be calculated in accordance wit isoperimetric element interpolation. Assume tat te side of unit matrix on interface corresponds to te side of isoperimetric quadrilateral η = 1: ( ξ η 1 ( + ξ η 1 ( + v // N x u, N y (14 τ m = = Te tangent of interfacial unctions between tese two units is calculated by weigted average of results gained from tese two units. Te weigt in weigted average can be considered like tat: before transformation, te tangent of matrix and inclusion on interface equals: ( β α τ τ τ (15, m1 +, m, in = After coefficient is set, we know tat, after transformation, te condition of interfacial tangent is: 1751

5 ( β α τ τ τ (16 m1 + m in = To fulfill conveniently, tis article uses multi-points constraint (13 to press conditions of border of interface. 4. Examples For given foam wit certain type included large a mount of compound materials distributing randomly in te matrix, its macroscopical attribute is determined by volume fraction of bubble and tickness of inclusion wall. By adusting tese two parameters, it is flexible to customize pysical attributes of composite materials [19][]. If we ignore te interacting influences of inclusions, we can establis a reference same as bubble s volume fraction of macroscopical composite materials and tickness of wall. And ten troug te analysis we can estimate effective modulus of macroscopical composite materials [8]. In order to assure te correctness of tis model, we first calculate te volume fraction of various inclusions and effective modulus under various tickness of wall, and ten contrast it wit traditional model. Te traditional model uses Ansys 1. and PLANE4 as unit; so tis article still uses Ansys basically as te model and ten educes stiffness. And also te inclusion assembles and connects stiffness in te way tat Section and 3 perform, and ten uses optimizer called HSL-MA57 to calculate. Example 1: as indicated in Figure 4, te size of section of compound materials is1 1, including round vacuoles wit volume ratio equaling µ. Te tickness of inclusion wall is. Te Young modulus of matrix materials and inclusion materials are respectively 1Mpa and 15Mpa, and Poisson s ratios are respectively.4 and.3. Figure 4,mesing plan of te proposed model ( µ =.3, = 1 As te contrast of tis article s case, using Ansys traditional programs needs to adopt a more dense mes to properly express inclusion of deformation. As indicated in Figure 5: Figure 5,mesing plan of te solid model ( µ =.3, = 1 By calculating te lengt of material s side wile stretcing, tension needs to be pressed and ten equivalent tensile 175

6 modulus of composite materials can also be acieved. Under tis condition, te modulus sould be: ( 1 ν σ E = (17 ε Te result tat acieved from equivalent modulus wit te cange of cavity volume fraction is sown in te following figure: Figure 6,Effective modules (=.5 Figure 7,Effective modules (=1. From Figure 6 and Figure 7, we can see tat bot of tese two calculating results are very close. It matces te expectation tat te equivalent modulus increases wile te tickness of inclusions increases and te equivalent modulus decreases wile volume fraction of vacuole increases. From te figure we can also find tat te results of te two models fit better wen mixed tickness is small, wic also matces te assumption of Kircoff-Love s tin-wall teorem. Terefore, te calculation sceme tis paper proposes is valid. We can also find tat, under comparatively larger volume ratio of cavum, te result of equivalent modulus tis paper calculates is a little bit larger tan result plane unit calculates. Tere are tree reasons: first, te gridding of Ansys entitative model is kind of tin; Second, tin-wall model ignores transformation in te direction of tickness; Tird, connection of multi-points constraints as stiff effect on interface. And we know tat te penomenon is more obvious under bigger volume ratio of cavum troug analysis, wic also matces te analyses of Figure 6 and Figure 7. In reality, matrix and inclusion appen to break easily wile under uniaxial stretc, sown as Figure 8.It is necessary to make researc of equivalent modulus wile aving partial damage on interface. We need to set up models more times wile adopting procedure of Ansys to calculate. Using te approac te paper describes, te process tat interface destroys, in reality, is a process of deleting multi-points constraints, wic seems muc easier. 1753

7 Figure 8, debonding wile under uniaxial stretc Example : Te former example uses µ = %, =.5 and two cases to calculate different equivalent modules under different size of destroyed interface. Te result is sown in Figure 9: Figure 9, effective modules versus debonding angles We can see tat tese two results are extremely close to eac oter, bot sowing tat te value of equivalent modulus decreases suddenly wen its deiscent angle reaces a certain point (about 4 degree; tis penomenon sows tat tis kind of composite foam is probable to lose stableness because of te partial drop of interface wile stretcing, wic matces te results of references [16][18]. Te model tis paper describes can be applied to te intimation of drop-off procedure of interface. CONCLUSION Tis paper tries to use combination of sell model on te basis of tin-wall teorem and practical model to solve plate problem of syntactic foams. Adopting sell model, in order to avoid te problem tat te sell wall is too tin, te paper adopts very tiny gridding wile establising te model. Te advantages of tis approac are few degrees of freedom and low cost. Te article uses te format of Kircoff-Love s sell model in plane strain, and infers strain expression and stiffness matrix of inclusion, wic makes programming easier by using wole rectangular coordinate system; And te article uses continuous displacement model of inclusion and matrix on interface, gaining te connecting constrainable relationsip between plate sell and entity points, wic was pressed by direct metod; Take advantage of te above approac to researc equivalent model of syntactic foams wile te volume ratio and tickness of sell wall are canging; Simulate condition of partial drop-off on interface. Examples indicate tat te calculating results of tis paper and te traditional way are very close to eac oter, wic proves to be effective. In addition, we can find tat tinner te tickness of wall is, so bigger te volume fraction of vacuole is, larger te modulus ration of inclusion and matrix is, and closer te two calculation results of tese two models. And tis is precisely te most common configuration parameter [1][][3][6] in practical application, so tis paper can be applied to statics calculations of composite foam and simulation of quasi-static degumming process. REFERENCES [1] Narkis M, Kenig S, Puterman M. Polymer Composites, 1984, 5(: [] Balc DK, Dunand DC. Acta Materialia, 6, 54(6:

8 [3] Gupta N, Kisore, Woldesenbet E, Sankaran S. Journal of Materials Science, 1, 36(18: [4] Roatgi PK, Gupta N, Alara S. Journal of Composite Materials, 6, 4 (13: [5] Gupta N, Woldesenbet E. Composite Structures, 3, 61(4: [6] Lu Zixing. Advances in mecanics 4, 34 (3 : [7] Bardella L, Genna F. Inter. J. Solids and Struct, 1, 38 (4-41 : [8] Tagliavia G, Porfiri M, Gupta N. International Journal of Solids and Structures, 1, 47(16: [9] Carrera E. Arcives of Computational Metods in Engineering,, 9: [1] Ansys Inc. Release 1. Documentation for Ansys[M/EB]. 5:Capter 4. [11] Felippa CA. Introduction to finite element metod [EB/OL]. ttp:// [11-1-5]: C.8- C.9 [1] Jasiuk I, Tsucida E, Mura T. Int J Solids Struct, 1987, 3 (1 : [13] Hasin Z. J App l Mec, 1991, 58 (: [14] Zong Z, Meguid S A. J Appl Mec, 1999, 66 (4 : [15] Sen H, Sciavone P, Ru CQ, et al. Mat Mec Solids,, 5 (4 : [16] Needleman A. ASME J Appl Mec, 1987, 54 ( 3 : [17] Huang ZP, Wang J. Acta Mecanica, 6, 18:195-1 [18] Tan H, Liu C. Journal of te Mecanics and Pysics of Solids, 5, 53: [19] Gupta N, Ricci W. Materials Science and Engineering A. 6, 47(1-: [] Yung KC, Zu BL, Yue TM, Xie CS. Composites Science and Tecnology. 9, 69(:

6. Non-uniform bending

6. Non-uniform bending . Non-uniform bending Introduction Definition A non-uniform bending is te case were te cross-section is not only bent but also seared. It is known from te statics tat in suc a case, te bending moment in

More information

AN ANALYSIS OF AMPLITUDE AND PERIOD OF ALTERNATING ICE LOADS ON CONICAL STRUCTURES

AN ANALYSIS OF AMPLITUDE AND PERIOD OF ALTERNATING ICE LOADS ON CONICAL STRUCTURES Ice in te Environment: Proceedings of te 1t IAHR International Symposium on Ice Dunedin, New Zealand, nd t December International Association of Hydraulic Engineering and Researc AN ANALYSIS OF AMPLITUDE

More information

Sample Problems for Exam II

Sample Problems for Exam II Sample Problems for Exam 1. Te saft below as lengt L, Torsional stiffness GJ and torque T is applied at point C, wic is at a distance of 0.6L from te left (point ). Use Castigliano teorem to Calculate

More information

3. Using your answers to the two previous questions, evaluate the Mratio

3. Using your answers to the two previous questions, evaluate the Mratio MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING CAMBRIDGE, MASSACHUSETTS 0219 2.002 MECHANICS AND MATERIALS II HOMEWORK NO. 4 Distributed: Friday, April 2, 2004 Due: Friday,

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc

More information

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator.

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator. Lecture XVII Abstract We introduce te concept of directional derivative of a scalar function and discuss its relation wit te gradient operator. Directional derivative and gradient Te directional derivative

More information

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is Mat 180 www.timetodare.com Section.7 Derivatives and Rates of Cange Part II Section.8 Te Derivative as a Function Derivatives ( ) In te previous section we defined te slope of te tangent to a curve wit

More information

A = h w (1) Error Analysis Physics 141

A = h w (1) Error Analysis Physics 141 Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.

More information

5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems

5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems 5 Ordinary Differential Equations: Finite Difference Metods for Boundary Problems Read sections 10.1, 10.2, 10.4 Review questions 10.1 10.4, 10.8 10.9, 10.13 5.1 Introduction In te previous capters we

More information

158 Calculus and Structures

158 Calculus and Structures 58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you

More information

Practice Problem Solutions: Exam 1

Practice Problem Solutions: Exam 1 Practice Problem Solutions: Exam 1 1. (a) Algebraic Solution: Te largest term in te numerator is 3x 2, wile te largest term in te denominator is 5x 2 3x 2 + 5. Tus lim x 5x 2 2x 3x 2 x 5x 2 = 3 5 Numerical

More information

Nonlinear correction to the bending stiffness of a damaged composite beam

Nonlinear correction to the bending stiffness of a damaged composite beam Van Paepegem, W., Decaene, R. and Degrieck, J. (5). Nonlinear correction to te bending stiffness of a damaged composite beam. Nonlinear correction to te bending stiffness of a damaged composite beam W.

More information

Static Response Analysis of a FGM Timoshenko s Beam Subjected to Uniformly Distributed Loading Condition

Static Response Analysis of a FGM Timoshenko s Beam Subjected to Uniformly Distributed Loading Condition Static Response Analysis of a FGM Timoseno s Beam Subjected to Uniformly Distributed Loading Condition 8 Aas Roy Department of Mecanical Engineering National Institute of Tecnology Durgapur Durgapur, Maatma

More information

Chapter 5 FINITE DIFFERENCE METHOD (FDM)

Chapter 5 FINITE DIFFERENCE METHOD (FDM) MEE7 Computer Modeling Tecniques in Engineering Capter 5 FINITE DIFFERENCE METHOD (FDM) 5. Introduction to FDM Te finite difference tecniques are based upon approximations wic permit replacing differential

More information

232 Calculus and Structures

232 Calculus and Structures 3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE

More information

Taylor Series and the Mean Value Theorem of Derivatives

Taylor Series and the Mean Value Theorem of Derivatives 1 - Taylor Series and te Mean Value Teorem o Derivatives Te numerical solution o engineering and scientiic problems described by matematical models oten requires solving dierential equations. Dierential

More information

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note

More information

Exam 1 Review Solutions

Exam 1 Review Solutions Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),

More information

Bob Brown Math 251 Calculus 1 Chapter 3, Section 1 Completed 1 CCBC Dundalk

Bob Brown Math 251 Calculus 1 Chapter 3, Section 1 Completed 1 CCBC Dundalk Bob Brown Mat 251 Calculus 1 Capter 3, Section 1 Completed 1 Te Tangent Line Problem Te idea of a tangent line first arises in geometry in te context of a circle. But before we jump into a discussion of

More information

Numerical Differentiation

Numerical Differentiation Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function

More information

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser

More information

Bending analysis of a functionally graded piezoelectric cantilever beam

Bending analysis of a functionally graded piezoelectric cantilever beam Science in Cina Series G: Pysics Mecanics & Astronomy 7 Science in Cina Press Springer-Verlag Bending analysis of a functionally graded pieoelectric cantilever beam YU Tao & ZHONG Zeng Scool of Aerospace

More information

Average Rate of Change

Average Rate of Change Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope

More information

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx. Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximating a function f(x, wose values at a set of distinct points x, x, x 2,,x n are known, by a polynomial P (x

More information

Continuity and Differentiability Worksheet

Continuity and Differentiability Worksheet Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;

More information

Exercises for numerical differentiation. Øyvind Ryan

Exercises for numerical differentiation. Øyvind Ryan Exercises for numerical differentiation Øyvind Ryan February 25, 2013 1. Mark eac of te following statements as true or false. a. Wen we use te approximation f (a) (f (a +) f (a))/ on a computer, we can

More information

The Verlet Algorithm for Molecular Dynamics Simulations

The Verlet Algorithm for Molecular Dynamics Simulations Cemistry 380.37 Fall 2015 Dr. Jean M. Standard November 9, 2015 Te Verlet Algoritm for Molecular Dynamics Simulations Equations of motion For a many-body system consisting of N particles, Newton's classical

More information

Chapters 19 & 20 Heat and the First Law of Thermodynamics

Chapters 19 & 20 Heat and the First Law of Thermodynamics Capters 19 & 20 Heat and te First Law of Termodynamics Te Zerot Law of Termodynamics Te First Law of Termodynamics Termal Processes Te Second Law of Termodynamics Heat Engines and te Carnot Cycle Refrigerators,

More information

Order of Accuracy. ũ h u Ch p, (1)

Order of Accuracy. ũ h u Ch p, (1) Order of Accuracy 1 Terminology We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, wic can be for instance te grid size or time step in a numerical

More information

Derivatives of Exponentials

Derivatives of Exponentials mat 0 more on derivatives: day 0 Derivatives of Eponentials Recall tat DEFINITION... An eponential function as te form f () =a, were te base is a real number a > 0. Te domain of an eponential function

More information

A Multiaxial Variable Amplitude Fatigue Life Prediction Method Based on a Plane Per Plane Damage Assessment

A Multiaxial Variable Amplitude Fatigue Life Prediction Method Based on a Plane Per Plane Damage Assessment American Journal of Mecanical and Industrial Engineering 28; 3(4): 47-54 ttp://www.sciencepublisinggroup.com/j/ajmie doi:.648/j.ajmie.2834.2 ISSN: 2575-679 (Print); ISSN: 2575-66 (Online) A Multiaxial

More information

The derivative function

The derivative function Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative

More information

Lecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines

Lecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines Lecture 5 Interpolation II Introduction In te previous lecture we focused primarily on polynomial interpolation of a set of n points. A difficulty we observed is tat wen n is large, our polynomial as to

More information

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT LIMITS AND DERIVATIVES Te limit of a function is defined as te value of y tat te curve approaces, as x approaces a particular value. Te limit of f (x) as x approaces a is written as f (x) approaces, as

More information

Poisson Equation in Sobolev Spaces

Poisson Equation in Sobolev Spaces Poisson Equation in Sobolev Spaces OcMountain Dayligt Time. 6, 011 Today we discuss te Poisson equation in Sobolev spaces. It s existence, uniqueness, and regularity. Weak Solution. u = f in, u = g on

More information

2.8 The Derivative as a Function

2.8 The Derivative as a Function .8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open

More information

Fabric Evolution and Its Effect on Strain Localization in Sand

Fabric Evolution and Its Effect on Strain Localization in Sand Fabric Evolution and Its Effect on Strain Localization in Sand Ziwei Gao and Jidong Zao Abstract Fabric anisotropy affects importantly te overall beaviour of sand including its strengt and deformation

More information

The Derivative as a Function

The Derivative as a Function Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a + )

More information

NCCI: Simple methods for second order effects in portal frames

NCCI: Simple methods for second order effects in portal frames NCC: Simple metods for second order effects in portal frames NCC: Simple metods for second order effects in portal frames NCC: Simple metods for second order effects in portal frames Tis NCC presents information

More information

Math 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006

Math 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 Mat 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 f(x+) f(x) 10 1. For f(x) = x 2 + 2x 5, find ))))))))) and simplify completely. NOTE: **f(x+) is NOT f(x)+! f(x+) f(x) (x+) 2 + 2(x+) 5 ( x 2

More information

Stability of Smart Beams with Varying Properties Based on the First Order Shear Deformation Theory Located on a Continuous Elastic Foundation

Stability of Smart Beams with Varying Properties Based on the First Order Shear Deformation Theory Located on a Continuous Elastic Foundation Australian Journal of Basic and Applied Sciences, 5(7): 743-747, ISSN 99-878 Stability of Smart Beams wit Varying Properties Based on te First Order Sear Deformation Teory ocated on a Continuous Elastic

More information

Model development for the beveling of quartz crystal blanks

Model development for the beveling of quartz crystal blanks 9t International Congress on Modelling and Simulation, Pert, Australia, 6 December 0 ttp://mssanz.org.au/modsim0 Model development for te beveling of quartz crystal blanks C. Dong a a Department of Mecanical

More information

Click here to see an animation of the derivative

Click here to see an animation of the derivative Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,

More information

Dedicated to the 70th birthday of Professor Lin Qun

Dedicated to the 70th birthday of Professor Lin Qun Journal of Computational Matematics, Vol.4, No.3, 6, 4 44. ACCELERATION METHODS OF NONLINEAR ITERATION FOR NONLINEAR PARABOLIC EQUATIONS Guang-wei Yuan Xu-deng Hang Laboratory of Computational Pysics,

More information

Desalination by vacuum membrane distillation: sensitivity analysis

Desalination by vacuum membrane distillation: sensitivity analysis Separation and Purification Tecnology 33 (2003) 75/87 www.elsevier.com/locate/seppur Desalination by vacuum membrane distillation: sensitivity analysis Fawzi Banat *, Fami Abu Al-Rub, Kalid Bani-Melem

More information

Microstrip Antennas- Rectangular Patch

Microstrip Antennas- Rectangular Patch April 4, 7 rect_patc_tl.doc Page of 6 Microstrip Antennas- Rectangular Patc (Capter 4 in Antenna Teory, Analysis and Design (nd Edition) by Balanis) Sown in Figures 4. - 4.3 Easy to analyze using transmission

More information

Non-linear Analysis Method of Ground Response Using Equivalent Single-degree-of-freedom Model

Non-linear Analysis Method of Ground Response Using Equivalent Single-degree-of-freedom Model Proceedings of te Tent Pacific Conference on Eartquake Engineering Building an Eartquake-Resilient Pacific 6-8 November 25, Sydney, Australia Non-linear Analysis Metod of Ground Response Using Equivalent

More information

ERROR BOUNDS FOR THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BRADLEY J. LUCIER*

ERROR BOUNDS FOR THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BRADLEY J. LUCIER* EO BOUNDS FO THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BADLEY J. LUCIE* Abstract. Te expected error in L ) attimet for Glimm s sceme wen applied to a scalar conservation law is bounded by + 2 ) ) /2 T

More information

. If lim. x 2 x 1. f(x+h) f(x)

. If lim. x 2 x 1. f(x+h) f(x) Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value

More information

NUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example,

NUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example, NUMERICAL DIFFERENTIATION James T Smit San Francisco State University In calculus classes, you compute derivatives algebraically: for example, f( x) = x + x f ( x) = x x Tis tecnique requires your knowing

More information

Work and Energy. Introduction. Work. PHY energy - J. Hedberg

Work and Energy. Introduction. Work. PHY energy - J. Hedberg Work and Energy PHY 207 - energy - J. Hedberg - 2017 1. Introduction 2. Work 3. Kinetic Energy 4. Potential Energy 5. Conservation of Mecanical Energy 6. Ex: Te Loop te Loop 7. Conservative and Non-conservative

More information

Combining functions: algebraic methods

Combining functions: algebraic methods Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)

More information

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12. Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But

More information

Math 31A Discussion Notes Week 4 October 20 and October 22, 2015

Math 31A Discussion Notes Week 4 October 20 and October 22, 2015 Mat 3A Discussion Notes Week 4 October 20 and October 22, 205 To prepare for te first midterm, we ll spend tis week working eamples resembling te various problems you ve seen so far tis term. In tese notes

More information

Pre-Calculus Review Preemptive Strike

Pre-Calculus Review Preemptive Strike Pre-Calculus Review Preemptive Strike Attaced are some notes and one assignment wit tree parts. Tese are due on te day tat we start te pre-calculus review. I strongly suggest reading troug te notes torougly

More information

A First-Order System Approach for Diffusion Equation. I. Second-Order Residual-Distribution Schemes

A First-Order System Approach for Diffusion Equation. I. Second-Order Residual-Distribution Schemes A First-Order System Approac for Diffusion Equation. I. Second-Order Residual-Distribution Scemes Hiroaki Nisikawa W. M. Keck Foundation Laboratory for Computational Fluid Dynamics, Department of Aerospace

More information

Differential Calculus (The basics) Prepared by Mr. C. Hull

Differential Calculus (The basics) Prepared by Mr. C. Hull Differential Calculus Te basics) A : Limits In tis work on limits, we will deal only wit functions i.e. tose relationsips in wic an input variable ) defines a unique output variable y). Wen we work wit

More information

Cubic Functions: Local Analysis

Cubic Functions: Local Analysis Cubic function cubing coefficient Capter 13 Cubic Functions: Local Analysis Input-Output Pairs, 378 Normalized Input-Output Rule, 380 Local I-O Rule Near, 382 Local Grap Near, 384 Types of Local Graps

More information

Material for Difference Quotient

Material for Difference Quotient Material for Difference Quotient Prepared by Stepanie Quintal, graduate student and Marvin Stick, professor Dept. of Matematical Sciences, UMass Lowell Summer 05 Preface Te following difference quotient

More information

A Reconsideration of Matter Waves

A Reconsideration of Matter Waves A Reconsideration of Matter Waves by Roger Ellman Abstract Matter waves were discovered in te early 20t century from teir wavelengt, predicted by DeBroglie, Planck's constant divided by te particle's momentum,

More information

Differentiation. Area of study Unit 2 Calculus

Differentiation. Area of study Unit 2 Calculus Differentiation 8VCE VCEco Area of stud Unit Calculus coverage In tis ca 8A 8B 8C 8D 8E 8F capter Introduction to limits Limits of discontinuous, rational and brid functions Differentiation using first

More information

CHAPTER (A) When x = 2, y = 6, so f( 2) = 6. (B) When y = 4, x can equal 6, 2, or 4.

CHAPTER (A) When x = 2, y = 6, so f( 2) = 6. (B) When y = 4, x can equal 6, 2, or 4. SECTION 3-1 101 CHAPTER 3 Section 3-1 1. No. A correspondence between two sets is a function only if eactly one element of te second set corresponds to eac element of te first set. 3. Te domain of a function

More information

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points MAT 15 Test #2 Name Solution Guide Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points Use te grap of a function sown ere as you respond to questions 1 to 8. 1. lim f (x) 0 2. lim

More information

Flapwise bending vibration analysis of double tapered rotating Euler Bernoulli beam by using the differential transform method

Flapwise bending vibration analysis of double tapered rotating Euler Bernoulli beam by using the differential transform method Meccanica 2006) 41:661 670 DOI 10.1007/s11012-006-9012-z Flapwise bending vibration analysis of double tapered rotating Euler Bernoulli beam by using te differential transform metod Ozge Ozdemir Ozgumus

More information

1. State whether the function is an exponential growth or exponential decay, and describe its end behaviour using limits.

1. State whether the function is an exponential growth or exponential decay, and describe its end behaviour using limits. Questions 1. State weter te function is an exponential growt or exponential decay, and describe its end beaviour using its. (a) f(x) = 3 2x (b) f(x) = 0.5 x (c) f(x) = e (d) f(x) = ( ) x 1 4 2. Matc te

More information

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS Po-Ceng Cang National Standard Time & Frequency Lab., TL, Taiwan 1, Lane 551, Min-Tsu Road, Sec. 5, Yang-Mei, Taoyuan, Taiwan 36 Tel: 886 3

More information

11-19 PROGRESSION. A level Mathematics. Pure Mathematics

11-19 PROGRESSION. A level Mathematics. Pure Mathematics SSaa m m pplle e UCa ni p t ter DD iff if erfe enren tiatia tiotio nn - 9 RGRSSIN decel Slevel andmatematics level Matematics ure Matematics NW FR 07 Year/S Year decel S and level Matematics Sample material

More information

Diffraction. S.M.Lea. Fall 1998

Diffraction. S.M.Lea. Fall 1998 Diffraction.M.Lea Fall 1998 Diffraction occurs wen EM waves approac an aperture (or an obstacle) wit dimension d > λ. We sall refer to te region containing te source of te waves as region I and te region

More information

INTRODUCTION AND MATHEMATICAL CONCEPTS

INTRODUCTION AND MATHEMATICAL CONCEPTS Capter 1 INTRODUCTION ND MTHEMTICL CONCEPTS PREVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips

More information

3.4 Worksheet: Proof of the Chain Rule NAME

3.4 Worksheet: Proof of the Chain Rule NAME Mat 1170 3.4 Workseet: Proof of te Cain Rule NAME Te Cain Rule So far we are able to differentiate all types of functions. For example: polynomials, rational, root, and trigonometric functions. We are

More information

MATH1131/1141 Calculus Test S1 v8a

MATH1131/1141 Calculus Test S1 v8a MATH/ Calculus Test 8 S v8a October, 7 Tese solutions were written by Joann Blanco, typed by Brendan Trin and edited by Mattew Yan and Henderson Ko Please be etical wit tis resource It is for te use of

More information

Chapter 2 GEOMETRIC ASPECT OF THE STATE OF SOLICITATION

Chapter 2 GEOMETRIC ASPECT OF THE STATE OF SOLICITATION Capter GEOMETRC SPECT OF THE STTE OF SOLCTTON. THE DEFORMTON ROUND PONT.. Te relative displacement Due to te influence of external forces, temperature variation, magnetic and electric fields, te construction

More information

Finding and Using Derivative The shortcuts

Finding and Using Derivative The shortcuts Calculus 1 Lia Vas Finding and Using Derivative Te sortcuts We ave seen tat te formula f f(x+) f(x) (x) = lim 0 is manageable for relatively simple functions like a linear or quadratic. For more complex

More information

June : 2016 (CBCS) Body. Load

June : 2016 (CBCS) Body. Load Engineering Mecanics st Semester : Common to all rances Note : Max. marks : 6 (i) ttempt an five questions (ii) ll questions carr equal marks. (iii) nswer sould be precise and to te point onl (iv) ssume

More information

Investigating Euler s Method and Differential Equations to Approximate π. Lindsay Crowl August 2, 2001

Investigating Euler s Method and Differential Equations to Approximate π. Lindsay Crowl August 2, 2001 Investigating Euler s Metod and Differential Equations to Approximate π Lindsa Crowl August 2, 2001 Tis researc paper focuses on finding a more efficient and accurate wa to approximate π. Suppose tat x

More information

SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY

SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY (Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative

More information

Velocity distribution in non-uniform/unsteady flows and the validity of log law

Velocity distribution in non-uniform/unsteady flows and the validity of log law University of Wollongong Researc Online Faculty of Engineering and Information Sciences - Papers: Part A Faculty of Engineering and Information Sciences 3 Velocity distribution in non-uniform/unsteady

More information

Test 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 =

Test 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 = Test Review Find te determinant of te matrix below using (a cofactor expansion and (b row reduction Answer: (a det + = (b Observe R R R R R R R R R Ten det B = (((det Hence det Use Cramer s rule to solve:

More information

2.1 THE DEFINITION OF DERIVATIVE

2.1 THE DEFINITION OF DERIVATIVE 2.1 Te Derivative Contemporary Calculus 2.1 THE DEFINITION OF DERIVATIVE 1 Te grapical idea of a slope of a tangent line is very useful, but for some uses we need a more algebraic definition of te derivative

More information

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions Article Engineering Termopysics July 2011 Vol.56 No.19: 2071 2076 doi: 10.1007/s11434-010-4189-x SPECIAL TOPICS: Te entransy dissipation minimization principle under given eat duty and eat transfer area

More information

Thermal Bending of Circular Plates for Non-axisymmetrical Problems

Thermal Bending of Circular Plates for Non-axisymmetrical Problems Copyrigt 2 Tec Science Press SL, vol.4, no.2, pp.5-2, 2 Termal Bending of Circular Plates for Non-axisymmetrical Problems Dong Zengzu Peng Weiong and Li Suncai Abstract: Due to te complexity of termal

More information

Lines, Conics, Tangents, Limits and the Derivative

Lines, Conics, Tangents, Limits and the Derivative Lines, Conics, Tangents, Limits and te Derivative Te Straigt Line An two points on te (,) plane wen joined form a line segment. If te line segment is etended beond te two points ten it is called a straigt

More information

Precalculus Test 2 Practice Questions Page 1. Note: You can expect other types of questions on the test than the ones presented here!

Precalculus Test 2 Practice Questions Page 1. Note: You can expect other types of questions on the test than the ones presented here! Precalculus Test 2 Practice Questions Page Note: You can expect oter types of questions on te test tan te ones presented ere! Questions Example. Find te vertex of te quadratic f(x) = 4x 2 x. Example 2.

More information

Chapter 2 Limits and Continuity

Chapter 2 Limits and Continuity 4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(

More information

Journal of Engineering Science and Technology Review 7 (4) (2014) 40-45

Journal of Engineering Science and Technology Review 7 (4) (2014) 40-45 Jestr Journal of Engineering Science and Tecnology Review 7 (4) (14) -45 JOURNAL OF Engineering Science and Tecnology Review www.jestr.org Mecanics Evolution Caracteristics Analysis of in Fully-mecanized

More information

Polynomials 3: Powers of x 0 + h

Polynomials 3: Powers of x 0 + h near small binomial Capter 17 Polynomials 3: Powers of + Wile it is easy to compute wit powers of a counting-numerator, it is a lot more difficult to compute wit powers of a decimal-numerator. EXAMPLE

More information

How to Find the Derivative of a Function: Calculus 1

How to Find the Derivative of a Function: Calculus 1 Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te

More information

(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a?

(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a? Solutions to Test 1 Fall 016 1pt 1. Te grap of a function f(x) is sown at rigt below. Part I. State te value of eac limit. If a limit is infinite, state weter it is or. If a limit does not exist (but is

More information

Distribution of reynolds shear stress in steady and unsteady flows

Distribution of reynolds shear stress in steady and unsteady flows University of Wollongong Researc Online Faculty of Engineering and Information Sciences - Papers: Part A Faculty of Engineering and Information Sciences 13 Distribution of reynolds sear stress in steady

More information

Week #15 - Word Problems & Differential Equations Section 8.2

Week #15 - Word Problems & Differential Equations Section 8.2 Week #1 - Word Problems & Differential Equations Section 8. From Calculus, Single Variable by Huges-Hallett, Gleason, McCallum et. al. Copyrigt 00 by Jon Wiley & Sons, Inc. Tis material is used by permission

More information

The causes of the observed head-in-pillow (HnP) soldering defects in BGA

The causes of the observed head-in-pillow (HnP) soldering defects in BGA ORIGINAL ARTICLE Solder joints in surface mounted IC assemblies: Relief in stress and warpage owing to te application of elevated stand-off eigts E. Suir E. Suir. Solder joints in surface mounted IC assemblies:

More information

CFD Analysis and Optimization of Heat Transfer in Double Pipe Heat Exchanger with Helical-Tap Inserts at Annulus of Inner Pipe

CFD Analysis and Optimization of Heat Transfer in Double Pipe Heat Exchanger with Helical-Tap Inserts at Annulus of Inner Pipe IOR Journal Mecanical and Civil Engineering (IOR-JMCE) e-in: 2278-1684,p-IN: 2320-334X, Volume 13, Issue 3 Ver. VII (May- Jun. 2016), PP 17-22 www.iosrjournals.org CFD Analysis and Optimization Heat Transfer

More information

2.11 That s So Derivative

2.11 That s So Derivative 2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point

More information

1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x)

1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x) Calculus. Gradients and te Derivative Q f(x+) δy P T δx R f(x) 0 x x+ Let P (x, f(x)) and Q(x+, f(x+)) denote two points on te curve of te function y = f(x) and let R denote te point of intersection of

More information

On the absence of marginal pinching in thin free films

On the absence of marginal pinching in thin free films On te absence of marginal pincing in tin free films P. D. Howell and H. A. Stone 6 August 00 Abstract Tis paper concerns te drainage of a tin liquid lamella into a Plateau border. Many models for draining

More information

2.3 Product and Quotient Rules

2.3 Product and Quotient Rules .3. PRODUCT AND QUOTIENT RULES 75.3 Product and Quotient Rules.3.1 Product rule Suppose tat f and g are two di erentiable functions. Ten ( g (x)) 0 = f 0 (x) g (x) + g 0 (x) See.3.5 on page 77 for a proof.

More information

WINKLER PLATES BY THE BOUNDARY KNOT METHOD

WINKLER PLATES BY THE BOUNDARY KNOT METHOD WINKLER PLATES BY THE BOUNARY KNOT ETHO Sofía Roble, sroble@fing.edu.uy Berardi Sensale, sensale@fing.edu.uy Facultad de Ingeniería, Julio Herrera y Reissig 565, ontevideo Abstract. Tis paper describes

More information

Quantum Theory of the Atomic Nucleus

Quantum Theory of the Atomic Nucleus G. Gamow, ZP, 51, 204 1928 Quantum Teory of te tomic Nucleus G. Gamow (Received 1928) It as often been suggested tat non Coulomb attractive forces play a very important role inside atomic nuclei. We can

More information

= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c)

= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c) Paper 1: Pure Matematics 1 Mark Sceme 1(a) (i) (ii) d d y 3 1x 4x x M1 A1 d y dx 1.1b 1.1b 36x 48x A1ft 1.1b Substitutes x = into teir dx (3) 3 1 4 Sows d y 0 and states ''ence tere is a stationary point''

More information